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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning ICCV 2025 Perception-Guided Jailbreak Against Text-to-Image Models AAAI 2025 PerceptionLab at BLP-2025 Task 1: Domain-Adapted BERT for Bangla Hate Speech Detection: Contrasting Single-Shot and Hierarchical Multiclass Classification AACL 2025 Perceptual Inductive Bias Is What You Need Before Contrastive Learning CVPR 2025 PerCoR: Evaluating Commonsense Reasoning in Persian via Multiple-Choice Sentence Completion IJCNLP 2025 PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation COLING 2025 Performance and Limitations of Fine-Tuned LLMs in SPARQL Query Generation COLING 2025 Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models ACL 2025 Performative Reinforcement Learning with Linear Markov Decision Process AISTATS 2025 Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model CVPR 2025 PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation ICLR 2025 Permutative Preference Alignment from Listwise Ranking of Human Judgments EMNLP 2025 PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation AAAI 2025 PersianMCQ-Instruct: A Comprehensive Resource for Generating Multiple-Choice Questions in Persian COLING 2025 Persistent Homology of Topic Networks for the Prediction of Reader Curiosity ACL 2025 Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles EMNLP 2025 PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data ACL 2025 PersonaBooth: Personalized Text-to-Motion Generation CVPR 2025 Persona Dynamics: Unveiling the Impact of Persona Traits on Agents in Text-Based Games ACL 2025 Personality-Guided Code Generation Using Large Language Models ACL 2025 Personality Matters: User Traits Predict LLM Preferences in Multi-Turn Collaborative Tasks EMNLP 2025 Personality Vector: Modulating Personality of Large Language Models by Model Merging EMNLP 2025 Personalized Clustering via Targeted Representation Learning AAAI 2025 Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach AAAI 2025 Personalized Generation In Large Model Era: A Survey ACL 2025